What are the hardware requirements for Llama 3.2 1B Instruct Q4f16?

Llama 3.2 1B Instruct Q4f16 requires a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 1B Instruct Q4f16 and how large is it?

Llama 3.2 1B Instruct Q4f16 is developed by onnx-community, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.2 1B Instruct Q4f16?

Llama 3.2 1B Instruct Q4f16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Instruct Q4f16 by onnx-community — 128K context

Name: Llama 3.2 1B Instruct Q4f16
Author: onnx-community

Llama 3.2 1B Instruct Q4f16 is an open-source language model by onnx-community. Features: 1b LLM, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:2204.05149 Conversational De En Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Onnx Pt Pytorch Region:us Th Transformers.js

Model Card on HF 🤗: https://huggingface.co/onnx-community/Llama-3.2-1B-Instruct-q4f16

Llama 3.2 1B Instruct Q4f16 Parameters and Internals

Model Type

text generation, multilingual

Use Cases

Areas:

commercial, research

Applications:

assistant-like chat, knowledge retrieval, summarization, mobile AI powered writing assistants

Limitations:

Use in any manner violating applicable laws or regulations, Use beyond explicitly referenced languages

Supported Languages

English (officially supported), German (officially supported), French (officially supported), Italian (officially supported), Portuguese (officially supported), Hindi (officially supported), Spanish (officially supported), Thai (officially supported)

Training Details

Data Sources:

Publicly available online data

Data Volume:

Up to 9T tokens

Methodology:

Supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF)

Context Length:

128000

Training Time:

916k GPU hours

Hardware Used:

Meta's custom built GPU cluster

Model Architecture:

Auto-regressive language model using optimized transformer architecture

Safety Evaluation

Ethical Considerations:

The model is not to be deployed in isolation but as part of a broader AI system with safety guardrails.

Responsible Ai Considerations

Transparency:

Built to be safe and flexible for user-deployed systems.

Accountability:

Developers are accountable for ensuring safety in their deployments.

Input Output

Accepted Modalities:

text

Output Format:

text

Release Notes

Version:

3.2

Date:

Sept 25, 2024

Notes:

Release of Llama 3.2 multilingual large language models.

LLM Name	Llama 3.2 1B Instruct Q4f16
Repository 🤗	https://huggingface.co/onnx-community/Llama-3.2-1B-Instruct-q4f16
Model Size	1b
Updated	2026-07-26
Maintainer	onnx-community
Model Type	llama
Instruction-Based	Yes
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Instruct Q4f16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3.2 1B Instruct Q4f16

Best Alternatives	Context / RAM	Downloads	Likes
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	395	2
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than onnx-community/Llama-3.2-1B-Instruct-q4f16.